/* ************************************************************************
 * Copyright (C) 2018-2022 Advanced Micro Devices, Inc. All rights reserved.
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell cop-
 * ies of the Software, and to permit persons to whom the Software is furnished
 * to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IM-
 * PLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
 * FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
 * COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
 * IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNE-
 * CTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 *
 *
 * ************************************************************************ */

#pragma once

#include "cblas_interface.hpp"
#include "flops.hpp"
#include "near.hpp"
#include "norm.hpp"
#include "rocblas.hpp"
#include "rocblas_datatype2string.hpp"
#include "rocblas_init.hpp"
#include "rocblas_math.hpp"
#include "rocblas_matrix.hpp"
#include "rocblas_random.hpp"
#include "rocblas_test.hpp"
#include "rocblas_vector.hpp"
#include "unit.hpp"
#include "utility.hpp"

template <typename T>
void testing_tbmv_strided_batched_bad_arg(const Arguments& arg)
{
    auto rocblas_tbmv_strided_batched_fn = arg.fortran ? rocblas_tbmv_strided_batched<T, true>
                                                       : rocblas_tbmv_strided_batched<T, false>;

    const rocblas_int       M                 = 100;
    const rocblas_int       K                 = 5;
    const rocblas_int       lda               = 100;
    const rocblas_int       incx              = 1;
    const rocblas_stride    stride_A          = 100;
    const rocblas_stride    stride_x          = 100;
    const rocblas_int       batch_count       = 5;
    const rocblas_int       banded_matrix_row = K + 1;
    const rocblas_fill      uplo              = rocblas_fill_upper;
    const rocblas_operation transA            = rocblas_operation_none;
    const rocblas_diagonal  diag              = rocblas_diagonal_non_unit;

    rocblas_local_handle handle{arg};

    // Allocate device memory
    device_strided_batch_matrix<T> dAb(banded_matrix_row, M, lda, stride_A, batch_count);
    device_strided_batch_vector<T> dx(M, incx, stride_x, batch_count);

    // Check device memory allocation
    CHECK_DEVICE_ALLOCATION(dAb.memcheck());
    CHECK_DEVICE_ALLOCATION(dx.memcheck());

    EXPECT_ROCBLAS_STATUS(rocblas_tbmv_strided_batched_fn(handle,
                                                          rocblas_fill_full,
                                                          transA,
                                                          diag,
                                                          M,
                                                          K,
                                                          dAb,
                                                          lda,
                                                          stride_A,
                                                          dx,
                                                          incx,
                                                          stride_x,
                                                          batch_count),
                          rocblas_status_invalid_value);
    // arg_checks code shared so transA, diag tested only in non-batched

    EXPECT_ROCBLAS_STATUS(rocblas_tbmv_strided_batched_fn(handle,
                                                          uplo,
                                                          transA,
                                                          diag,
                                                          M,
                                                          K,
                                                          nullptr,
                                                          lda,
                                                          stride_A,
                                                          dx,
                                                          incx,
                                                          stride_x,
                                                          batch_count),
                          rocblas_status_invalid_pointer);

    EXPECT_ROCBLAS_STATUS(rocblas_tbmv_strided_batched_fn(handle,
                                                          uplo,
                                                          transA,
                                                          diag,
                                                          M,
                                                          K,
                                                          dAb,
                                                          lda,
                                                          stride_A,
                                                          nullptr,
                                                          incx,
                                                          stride_x,
                                                          batch_count),
                          rocblas_status_invalid_pointer);

    EXPECT_ROCBLAS_STATUS(
        rocblas_tbmv_strided_batched_fn(
            nullptr, uplo, transA, diag, M, K, dAb, lda, stride_A, dx, incx, stride_x, batch_count),
        rocblas_status_invalid_handle);

    // Adding test to check that if batch_count == 0 we can pass in nullptrs and get a success.
    EXPECT_ROCBLAS_STATUS(
        rocblas_tbmv_batched<T>(handle, uplo, transA, diag, M, K, nullptr, lda, nullptr, incx, 0),
        rocblas_status_success);
}

template <typename T>
void testing_tbmv_strided_batched(const Arguments& arg)
{
    auto rocblas_tbmv_strided_batched_fn = arg.fortran ? rocblas_tbmv_strided_batched<T, true>
                                                       : rocblas_tbmv_strided_batched<T, false>;

    rocblas_int       M                 = arg.M;
    rocblas_int       K                 = arg.K;
    rocblas_int       lda               = arg.lda;
    rocblas_int       incx              = arg.incx;
    char              char_uplo         = arg.uplo;
    char              char_diag         = arg.diag;
    rocblas_stride    stride_A          = arg.stride_a;
    rocblas_stride    stride_x          = arg.stride_x;
    rocblas_int       batch_count       = arg.batch_count;
    rocblas_fill      uplo              = char2rocblas_fill(char_uplo);
    rocblas_operation transA            = char2rocblas_operation(arg.transA);
    rocblas_diagonal  diag              = char2rocblas_diagonal(char_diag);
    const rocblas_int banded_matrix_row = K + 1;

    rocblas_local_handle handle{arg};

    // argument sanity check before allocating invalid memory
    bool invalid_size = M < 0 || K < 0 || lda < banded_matrix_row || !incx || batch_count < 0;
    if(invalid_size || !M || !batch_count)
    {
        EXPECT_ROCBLAS_STATUS(rocblas_tbmv_strided_batched_fn(handle,
                                                              uplo,
                                                              transA,
                                                              diag,
                                                              M,
                                                              K,
                                                              nullptr,
                                                              lda,
                                                              stride_A,
                                                              nullptr,
                                                              incx,
                                                              stride_x,
                                                              batch_count),
                              invalid_size ? rocblas_status_invalid_size : rocblas_status_success);

        return;
    }

    size_t abs_incx = size_t(incx >= 0 ? incx : -incx);

    // Naming: `h` is in CPU (host) memory(eg hAb), `d` is in GPU (device) memory (eg dAb).
    // Allocate host memory
    host_strided_batch_matrix<T> hAb(banded_matrix_row, M, lda, stride_A, batch_count);
    host_strided_batch_vector<T> hx_1(M, incx, stride_x, batch_count);
    host_strided_batch_vector<T> hx_2(M, incx, stride_x, batch_count);
    host_strided_batch_vector<T> hx_gold(M, incx, stride_x, batch_count);

    // Check host memory allocation
    CHECK_HIP_ERROR(hAb.memcheck());
    CHECK_HIP_ERROR(hx_1.memcheck());
    CHECK_HIP_ERROR(hx_2.memcheck());
    CHECK_HIP_ERROR(hx_gold.memcheck());

    // Allocate device memory
    device_strided_batch_matrix<T> dAb(banded_matrix_row, M, lda, stride_A, batch_count);
    device_strided_batch_vector<T> dx(M, incx, stride_x, batch_count);

    // Check device memory allocation
    CHECK_DEVICE_ALLOCATION(dAb.memcheck());
    CHECK_DEVICE_ALLOCATION(dx.memcheck());

    // Initialize data on host memory
    // Initializing the banded-matrix 'hAb' as a general matrix as the banded matrix is not triangular
    rocblas_init_matrix(
        hAb, arg, rocblas_client_never_set_nan, rocblas_client_general_matrix, true);
    rocblas_init_vector(hx_1, arg, rocblas_client_never_set_nan, false, true);

    hx_gold.copy_from(hx_1);

    // copy data from CPU to device
    CHECK_HIP_ERROR(dAb.transfer_from(hAb));
    CHECK_HIP_ERROR(dx.transfer_from(hx_1));

    double gpu_time_used, cpu_time_used;
    double rocblas_error_1;
    double rocblas_error_2;

    /* =====================================================================
           ROCBLAS
    =================================================================== */

    if(arg.unit_check || arg.norm_check)
    {
        // pointer mode shouldn't matter here
        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_device));
        CHECK_ROCBLAS_ERROR(rocblas_tbmv_strided_batched_fn(
            handle, uplo, transA, diag, M, K, dAb, lda, stride_A, dx, incx, stride_x, batch_count));

        // CPU BLAS
        cpu_time_used = get_time_us_no_sync();

        for(int b = 0; b < batch_count; b++)
            cblas_tbmv<T>(uplo, transA, diag, M, K, hAb[b], lda, hx_gold[b], incx);

        cpu_time_used = get_time_us_no_sync() - cpu_time_used;

        // copy output from device to CPU
        CHECK_HIP_ERROR(hx_2.transfer_from(dx));

        if(arg.unit_check)
        {
            unit_check_general<T>(1, M, abs_incx, stride_x, hx_gold, hx_2, batch_count);
        }

        if(arg.norm_check)
        {
            rocblas_error_1
                = norm_check_general<T>('F', 1, M, abs_incx, stride_x, hx_gold, hx_2, batch_count);
        }
    }

    if(arg.timing)
    {
        int number_cold_calls = arg.cold_iters;
        int number_hot_calls  = arg.iters;

        for(int iter = 0; iter < number_cold_calls; iter++)
        {
            rocblas_tbmv_strided_batched_fn(handle,
                                            uplo,
                                            transA,
                                            diag,
                                            M,
                                            K,
                                            dAb,
                                            lda,
                                            stride_A,
                                            dx,
                                            incx,
                                            stride_x,
                                            batch_count);
        }

        hipStream_t stream;
        CHECK_ROCBLAS_ERROR(rocblas_get_stream(handle, &stream));
        gpu_time_used = get_time_us_sync(stream); // in microseconds

        for(int iter = 0; iter < number_hot_calls; iter++)
        {
            rocblas_tbmv_strided_batched_fn(handle,
                                            uplo,
                                            transA,
                                            diag,
                                            M,
                                            K,
                                            dAb,
                                            lda,
                                            stride_A,
                                            dx,
                                            incx,
                                            stride_x,
                                            batch_count);
        }

        gpu_time_used = get_time_us_sync(stream) - gpu_time_used;

        ArgumentModel<e_uplo,
                      e_transA,
                      e_diag,
                      e_M,
                      e_K,
                      e_lda,
                      e_stride_a,
                      e_incx,
                      e_stride_x,
                      e_batch_count>{}
            .log_args<T>(rocblas_cout,
                         arg,
                         gpu_time_used,
                         tbmv_gflop_count<T>(M, K),
                         tbmv_gbyte_count<T>(M, K),
                         cpu_time_used,
                         rocblas_error_1);
    }
}
